The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-31"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "17591968 (up from 17305917 yesterday: 1.65 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "679439 (up from 673173 yesterday: 0.93 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5093501

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.86



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 4562038 67023 1.49 1377465 153314 1259 0.83 3.36
Brazil 2662485 52383 2.01 861658 92475 1212 1.33 3.47
India 1695988 61242 3.75 875072 36511 793 2.22 2.15
Russia 838461 5468 0.66 125598 13939 161 1.17 1.66
South Africa 493183 11014 2.28 242496 8005 193 2.47 1.62
Mexico 424637 8458 2.03 135463 46688 688 1.50 10.99
Peru 407492 6809 1.70 87846 19021 205 1.09 4.67
Chile 355667 2131 0.60 46393 9457 80 0.85 2.66
United Kingdom 304793 883 0.29 15115 46204 120 0.26 15.16
Iran 304204 2674 0.89 51484 16766 197 1.19 5.51
Colombia 295508 9488 3.32 161535 10105 295 3.01 3.42
Spain 288522 3092 1.08 34614 28445 2 0.01 9.86
Pakistan 278305 903 0.33 31954 5951 27 0.46 2.14
Saudi Arabia 275905 1686 0.61 49419 2866 24 0.84 1.04
Italy 247537 379 0.15 4898 35141 9 0.03 14.20
Bangladesh 237661 2772 1.18 59218 3111 28 0.91 1.31
Turkey 230873 982 0.43 19908 5691 17 0.30 2.46
France 225197 2728 1.23 17182 30268 27 0.09 13.44
Germany 210399 864 0.41 11067 9147 3 0.03 4.35
Argentina 191302 5929 3.20 97242 3543 102 2.96 1.85
Iraq 124609 3346 2.76 52149 4741 70 1.50 3.80
Canada 118281 604 0.51 9297 8980 6 0.07 7.59
Qatar 110695 235 0.21 8065 174 3 1.75 0.16
Indonesia 108376 2040 1.92 36029 5131 73 1.44 4.73
Egypt 94078 321 0.34 13843 4805 31 0.65 5.11
Kazakhstan 90367 1289 1.45 33912 793 0 0.00 0.88
China 87655 166 0.19 2663 4661 2 0.04 5.32
Philippines 85486 0 0.00 32572 1962 0 0.00 2.30
Ecuador 85355 985 1.17 20337 5702 45 0.80 6.68
Sweden 80422 322 0.40 5524 5743 4 0.07 7.14
Oman 79159 0 0.00 25545 421 0 0.00 0.53
Bolivia 76789 1555 2.07 31224 2977 83 2.87 3.88
Ukraine 71404 1104 1.57 18288 1717 20 1.18 2.40
Israel 70970 934 1.33 34704 512 12 2.40 0.72
Dominican Republic 69649 1734 2.55 27734 1160 14 1.22 1.67
Belgium 68751 745 1.10 6394 9841 1 0.01 14.31
Belarus 67808 143 0.21 3204 559 6 1.08 0.82
Kuwait 66957 428 0.64 13377 447 2 0.45 0.67
Panama 65256 1065 1.66 21999 1421 24 1.72 2.18
United Arab Emirates 60506 283 0.47 6456 351 2 0.57 0.58
Netherlands 54590 341 0.63 3535 6166 0 0.00 11.30
Singapore 52205 396 0.76 6591 27 0 0.00 0.05
Portugal 51072 204 0.40 5393 1735 8 0.46 3.40
Romania 50886 1295 2.61 19505 2343 39 1.69 4.60
Guatemala 49789 963 1.97 22170 1924 57 3.05 3.86
Poland 45688 657 1.46 8472 1716 7 0.41 3.76
Nigeria 43151 462 1.08 11828 879 1 0.11 2.04
Honduras 42014 588 1.42 14961 1337 25 1.91 3.18
Bahrain 40982 227 0.56 8943 147 1 0.68 0.36
Armenia 38550 354 0.93 7647 738 10 1.37 1.91
Afghanistan 36675 133 0.36 2481 1272 1 0.08 3.47
Japan 36234 1090 3.10 15190 1008 1 0.10 2.78
Kyrgyzstan 35805 582 1.65 25895 1378 14 1.03 3.85
Ghana 35501 359 1.02 11667 182 7 4.00 0.51
Switzerland 35232 210 0.60 2542 1981 1 0.05 5.62
Azerbaijan 31878 318 1.01 8888 448 7 1.59 1.41
Algeria 30394 563 1.89 12152 1210 10 0.83 3.98
Ireland 26065 38 0.15 476 1763 0 0.00 6.76
Serbia 25552 339 1.34 7824 573 8 1.42 2.24
Moldova 24733 390 1.60 5809 778 7 0.91 3.15
Morocco 24322 1063 4.57 8994 353 7 2.02 1.45
Uzbekistan 24009 738 3.17 11982 141 5 3.68 0.59
Austria 21130 175 0.84 2421 718 0 0.00 3.40
Kenya 20636 723 3.63 11188 341 16 4.92 1.65
Nepal 19771 224 1.15 3122 56 4 7.69 0.28
Venezuela 18574 715 4.00 9771 164 6 3.80 0.88
Costa Rica 17820 530 3.07 10975 150 10 7.14 0.84
Ethiopia 17530 915 5.51 10410 274 11 4.18 1.56
Australia 17280 377 2.23 7727 201 5 2.55 1.16
Cameroon 17255 0 0.00 2339 391 0 0.00 2.27
El Salvador 16632 402 2.48 7490 448 9 2.05 2.69
Czechia 16574 203 1.24 3573 382 3 0.79 2.30
Cote d’Ivoire 16047 69 0.43 3995 102 2 2.00 0.64
Korea, South 14336 31 0.22 963 301 0 0.00 2.10
Denmark 14028 64 0.46 881 615 0 0.00 4.38
Bosnia and Herzegovina 11876 432 3.77 5474 339 11 3.35 2.85
West Bank and Gaza 11837 289 2.50 6286 82 1 1.23 0.69
Bulgaria 11690 270 2.36 4726 383 9 2.41 3.28
Sudan 11644 148 1.29 1440 746 21 2.90 6.41
Madagascar 10868 120 1.12 6725 106 1 0.95 0.98
North Macedonia 10754 137 1.29 2977 486 6 1.25 4.52
Senegal 10232 126 1.25 2350 205 1 0.49 2.00

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 500556 7622 1.55 189671 9214 188 2.08 1.84 12668.38 233.19 1 in 79
Florida 470386 9007 1.95 226235 6843 257 3.90 1.45 21901.10 318.61 1 in 46
Texas 438293 10064 2.35 193537 6576 134 2.08 1.50 15115.70 226.79 1 in 66
New York 415014 644 0.16 14715 32689 6 0.02 7.88 21333.57 1680.36 1 in 47
Georgia 186352 4066 2.23 75135 3752 81 2.21 2.01 17551.53 353.38 1 in 57
New Jersey 181660 690 0.38 7032 15819 10 0.06 8.71 20452.16 1780.98 1 in 49
Illinois 180115 1980 1.11 27216 7692 22 0.29 4.27 14213.82 607.02 1 in 70
Arizona 174010 3212 1.88 57118 3694 68 1.88 2.12 22851.27 485.10 1 in 44
North Carolina 122298 1766 1.47 40266 1942 20 1.04 1.59 11660.66 185.16 1 in 86
Massachusetts 117612 514 0.44 6502 8609 29 0.34 7.32 16923.80 1238.79 1 in 59
Pennsylvania 116787 980 0.85 18305 7207 13 0.18 6.17 9122.57 562.96 1 in 110
Louisiana 116280 1799 1.57 41644 3949 24 0.61 3.40 25012.94 849.47 1 in 40
Tennessee 105959 3088 3.00 46413 1060 27 2.61 1.00 15506.56 155.13 1 in 64
Ohio 91159 1533 1.71 28303 3489 47 1.37 3.83 7798.63 298.48 1 in 128
Michigan 90574 793 0.88 14889 6450 7 0.11 7.12 9069.32 645.85 1 in 110
Virginia 89888 984 1.11 20957 2174 33 1.54 2.42 10531.05 254.70 1 in 95
South Carolina 89016 1444 1.65 36597 1712 45 2.70 1.92 17288.98 332.51 1 in 58
Maryland 88346 1169 1.34 16436 3493 5 0.14 3.95 14613.08 577.77 1 in 68
Alabama 87723 1961 2.29 37215 1580 15 0.96 1.80 17891.02 322.24 1 in 56
Indiana 66154 901 1.38 15854 2965 19 0.64 4.48 9826.48 440.42 1 in 102
Mississippi 58747 1168 2.03 24125 1663 52 3.23 2.83 19739.27 558.78 1 in 51
Washington 55803 0 0.00 16585 1564 0 0.00 2.80 7328.14 205.39 1 in 136
Minnesota 54463 771 1.44 13696 1640 6 0.37 3.01 9657.19 290.80 1 in 104
Wisconsin 52940 832 1.60 18187 934 15 1.63 1.76 9092.42 160.41 1 in 110
Missouri 50616 1477 3.01 23547 1265 10 0.80 2.50 8247.10 206.11 1 in 121
Connecticut 49810 140 0.28 2523 4432 1 0.02 8.90 13970.82 1243.10 1 in 72
Nevada 48088 1264 2.70 22180 830 29 3.62 1.73 15612.20 269.47 1 in 64
Colorado 46791 605 1.31 10618 1838 16 0.88 3.93 8125.22 319.17 1 in 123
Iowa 44753 468 1.06 10581 872 7 0.81 1.95 14184.47 276.38 1 in 70
Arkansas 42511 752 1.80 15708 453 11 2.49 1.07 14086.64 150.11 1 in 71
Utah 40196 500 1.26 11973 304 4 1.33 0.76 12537.91 94.82 1 in 80
Oklahoma 36487 747 2.09 17395 541 5 0.93 1.48 9220.94 136.72 1 in 108
Kentucky 30151 765 2.60 11479 735 4 0.55 2.44 6748.70 164.52 1 in 148
Kansas 27364 479 1.78 9061 358 1 0.28 1.31 9392.74 122.88 1 in 106
Nebraska 26211 445 1.73 5434 332 4 1.22 1.27 13549.88 171.63 1 in 74
Idaho 20716 474 2.34 10787 188 11 6.21 0.91 11559.85 104.91 1 in 87
New Mexico 20600 212 1.04 6051 642 7 1.10 3.12 9824.36 306.18 1 in 102
Rhode Island 19022 72 0.38 1710 1007 0 0.00 5.29 17956.11 950.57 1 in 56
Oregon 18492 361 1.99 7038 322 6 1.90 1.74 4384.34 76.34 1 in 228
Puerto Rico 16781 209 1.26 7644 219 5 2.34 1.31 5254.42 68.57 1 in 190
Delaware 14788 99 0.67 2136 585 4 0.69 3.96 15186.43 600.76 1 in 66
District of Columbia 12057 0 0.00 1314 584 0 0.00 4.84 17083.98 827.49 1 in 59
South Dakota 8764 79 0.91 1363 130 1 0.78 1.48 9906.64 146.95 1 in 101
New Hampshire 6583 39 0.60 592 415 0 0.00 6.30 4841.47 305.21 1 in 207
West Virginia 6579 204 3.20 2596 116 4 3.57 1.76 3681.29 64.91 1 in 272
North Dakota 6469 168 2.67 2314 103 0 0.00 1.59 8488.81 135.16 1 in 118
Montana 3965 151 3.96 2372 60 5 9.09 1.51 3709.84 56.14 1 in 270
Maine 3912 24 0.62 413 123 1 0.82 3.14 2910.26 91.50 1 in 344
Alaska 2990 111 3.86 1667 23 0 0.00 0.77 4087.24 31.44 1 in 245
Wyoming 2726 40 1.49 936 26 0 0.00 0.95 4710.08 44.92 1 in 212
Hawaii 2111 122 6.13 953 26 0 0.00 1.23 1490.95 18.36 1 in 671
Vermont 1414 7 0.50 137 57 0 0.00 4.03 2266.07 91.35 1 in 441

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 7811041 500556 6.41 2635304 189671 7.20 197686.70
2 Florida 3628088 470386 12.97 1206461 226235 18.75 168923.20
3 Texas 3669752 438293 11.94 1279963 193537 15.12 126561.15
4 New York 5889237 415014 7.05 1347663 14715 1.09 302733.11
5 Georgia 1574687 186352 11.83 528339 75135 14.22 148311.60
6 New Jersey 2096329 181660 8.67 473171 7032 1.49 236014.88
7 Illinois 2700849 180115 6.67 787974 27216 3.45 213138.19
8 Arizona 933743 174010 18.64 264532 57118 21.59 122620.63
9 North Carolina 1757102 122298 6.96 606490 40266 6.64 167533.17
10 Massachusetts 1188430 117612 9.90 249814 6502 2.60 171009.35
11 Pennsylvania 1216872 116787 9.60 318232 18305 5.75 95053.35
12 Louisiana 1342243 116280 8.66 436995 41644 9.53 288729.29
13 Tennessee 1513405 105959 7.00 518830 46413 8.95 221479.07
14 Ohio 1468334 91159 6.21 508781 28303 5.56 125615.66
15 Michigan 1844447 90574 4.91 597642 14889 2.49 184687.43
16 Virginia 1110747 89888 8.09 342022 20957 6.13 130132.33
17 South Carolina 692835 89016 12.85 217600 36597 16.82 134564.67
18 Maryland 911191 88346 9.70 290128 16436 5.67 150717.70
19 Alabama 689467 87723 12.72 197251 37215 18.87 140616.15
20 Indiana 747383 66154 8.85 196821 15854 8.06 111015.85
21 Mississippi 454505 58747 12.93 124193 24125 19.43 152715.81
22 Washington 973654 55803 5.73 313324 16585 5.29 127861.81
23 Minnesota 834354 54463 6.53 108529 13696 12.62 147944.76
24 Wisconsin 939083 52940 5.64 265573 18187 6.85 161287.02
25 Missouri 686773 50616 7.37 231948 23547 10.15 111899.15
26 Connecticut 793996 49810 6.27 235787 2523 1.07 222701.85
27 Nevada 469903 48088 10.23 134412 22180 16.50 152558.18
28 Colorado 526346 46791 8.89 149206 10618 7.12 91399.57
29 Iowa 474412 44753 9.43 112164 10581 9.43 150364.97
30 Arkansas 503469 42511 8.44 138057 15708 11.38 166831.74
31 Utah 528910 40196 7.60 132936 11973 9.01 164977.21
32 Oklahoma 625578 36487 5.83 214504 17395 8.11 158095.17
33 Kentucky 587823 30151 5.13 155133 11479 7.40 131572.52
34 Kansas 292507 27364 9.35 74728 9061 12.13 100403.53
35 Nebraska 270956 26211 9.67 69942 5434 7.77 140071.79
36 Idaho 179110 20716 11.57 61032 10787 17.67 99946.15
37 New Mexico 551637 20600 3.73 155756 6051 3.88 263081.54
38 Rhode Island 206016 19022 9.23 39361 1710 4.34 194471.95
39 Oregon 404193 18492 4.58 117423 7038 5.99 95831.72
41 Delaware 181047 14788 8.17 48339 2136 4.42 185924.93
42 District of Columbia 188741 12057 6.39 67857 1314 1.94 267433.61
43 South Dakota 111635 8764 7.85 23093 1363 5.90 126189.87
44 New Hampshire 158309 6583 4.16 27258 592 2.17 116428.42
45 West Virginia 283988 6579 2.32 82785 2596 3.14 158905.79
46 North Dakota 153964 6469 4.20 34368 2314 6.73 202036.05
47 Montana 169970 3965 2.33 57792 2372 4.10 159032.09
48 Maine 167167 3912 2.34 48761 413 0.85 124360.59
49 Alaska 233106 2990 1.28 91175 1667 1.83 318648.89
50 Wyoming 53299 2726 5.11 13432 936 6.97 92091.87
51 Hawaii 121368 2111 1.74 30773 953 3.10 85719.61
52 Vermont 94368 1414 1.50 20270 137 0.68 151233.44

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 431719 9601 2.27 266883 61.82 149214 15316 322 2.15 3.55
Tamil Nadu 251738 5879 2.39 190966 75.86 56738 4034 99 2.52 1.60
Andhra Pradesh 150209 9276 6.58 76614 51.00 72188 1407 58 4.30 0.94
Delhi 136716 1118 0.82 122131 89.33 10596 3989 26 0.66 2.92
Karnataka 129287 5172 4.17 53648 41.50 73218 2412 98 4.24 1.87
Uttar Pradesh 89048 3587 4.20 51334 57.65 36037 1677 47 2.88 1.88
West Bengal 72777 5085 7.51 50517 69.41 20631 1629 93 6.05 2.24
Telangana 64786 2083 3.32 46502 71.78 17754 530 11 2.12 0.82
Gujarat 62574 1136 1.85 45884 73.33 14230 2460 24 0.99 3.93
Bihar 54508 3521 6.91 35473 65.08 18722 312 14 4.70 0.57
Rajasthan 43243 1945 4.71 30668 70.92 11881 694 20 2.97 1.60
Assam 41727 3319 8.64 31443 75.35 10180 101 3 3.06 0.24
Haryana 35758 793 2.27 29080 81.32 6250 428 7 1.66 1.20
Odisha 33479 1602 5.03 21274 63.54 11980 225 11 5.14 0.67
Madhya Pradesh 32614 808 2.54 22969 70.43 8769 876 9 1.04 2.69
Kerala 24743 1129 4.78 13775 55.67 10862 82 8 10.81 0.33
Jammu and Kashmir 20972 613 3.01 12871 61.37 7713 388 11 2.92 1.85
Punjab 17063 944 5.86 11075 64.91 5583 405 19 4.92 2.37
Jharkhand 12104 1616 15.41 4513 37.29 7477 114 10 9.62 0.94
Chhattisgarh 9427 341 3.75 6610 70.12 2762 55 2 3.77 0.58
Uttarakhand 7447 264 3.68 4330 58.14 2996 83 3 3.75 1.11
Goa 6193 280 4.74 4438 71.66 1707 48 3 6.67 0.78
Tripura 4996 274 5.80 3327 66.59 1630 21 0 0.00 0.42
Puducherry 3606 134 3.86 2198 60.95 1357 51 2 4.08 1.41
Manipur 2756 135 5.15 1699 61.65 1051 6 1 20.00 0.22
Himachal Pradesh 2634 122 4.86 1502 57.02 1102 13 0 0.00 0.49
Nagaland 1831 138 8.15 640 34.95 1183 4 0 0.00 0.22
Arunachal Pradesh 1674 190 12.80 969 57.89 702 3 0 0.00 0.18
Ladakh 1462 58 4.13 1108 75.79 347 7 0 0.00 0.48
Dadra and Nagar Haveli and Daman and Diu 1194 45 3.92 755 63.23 427 2 0 0.00 0.17
Chandigarh 1079 28 2.66 683 63.30 378 18 3 20.00 1.67
Meghalaya 856 33 4.01 252 29.44 599 5 0 0.00 0.58
Sikkim 650 11 1.72 269 41.38 380 1 0 0.00 0.15
Andaman and Nicobar Islands 636 88 16.06 226 35.53 402 7 2 40.00 1.10
Mizoram 468 60 14.71 253 54.06 214 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1300088 96219 77 0.08 7.40 148 7 6011 16806 17.47
Piemonte 499126 31667 21 0.07 6.34 103 5 799 4129 13.04
Emilia-Romagna 655330 29670 36 0.12 4.53 59 4 1496 4289 14.46
Veneto 1228415 20120 117 0.58 1.64 33 3 1000 2074 10.31
Toscana 424574 10483 14 0.13 2.47 17 0 387 1134 10.82
Liguria 189022 10214 4 0.04 5.40 19 0 200 1567 15.34
Lazio 416921 8647 18 0.21 2.07 183 9 945 863 9.98
Marche 167216 6884 21 0.31 4.12 6 0 147 987 14.34
Campania 332836 4999 9 0.18 1.50 48 6 395 435 8.70
P.A. Trento 153167 4975 2 0.04 3.25 0 0 100 405 8.14
Puglia 240004 4611 2 0.04 1.92 18 0 95 552 11.97
Friuli Venezia Giulia 251621 3394 3 0.09 1.35 9 2 122 345 10.16
Abruzzo 128483 3382 5 0.15 2.63 13 1 111 472 13.96
Sicilia 276773 3288 16 0.49 1.19 38 2 275 283 8.61
P.A. Bolzano 105217 2717 15 0.56 2.58 6 1 102 292 10.75
Umbria 120896 1466 1 0.07 1.21 6 0 18 80 5.46
Sardegna 106345 1404 10 0.72 1.32 3 0 33 134 9.54
Calabria 120668 1266 4 0.32 1.05 3 1 97 97 7.66
Valle d’Aosta 21532 1208 0 0.00 5.61 1 0 12 146 12.09
Molise 27679 471 1 0.21 1.70 1 0 27 23 4.88
Basilicata 47200 452 3 0.67 0.96 2 0 50 28 6.19

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 59312 181 0.31 5674 1 0.02 9.57 6947.09 664.58 1 in 144
Ontario 41178 225 0.55 2819 3 0.11 6.85 2798.97 191.61 1 in 357
Alberta 10843 127 1.19 196 1 0.51 1.81 2456.98 44.41 1 in 407
British Columbia 3641 50 1.39 195 1 0.52 5.36 712.40 38.15 1 in 1404
Saskatchewan 1319 13 1.00 18 0 0.00 1.36 1116.22 15.23 1 in 896
Nova Scotia 1069 2 0.19 64 0 0.00 5.99 1093.65 65.48 1 in 914
Manitoba 415 6 1.47 8 0 0.00 1.93 301.27 5.81 1 in 3319
Newfoundland and Labrador 266 0 0.00 3 0 0.00 1.13 510.20 5.75 1 in 1960
New Brunswick 170 0 0.00 2 0 0.00 1.18 217.95 2.56 1 in 4588
Prince Edward Island 36 0 0.00 0 0 NaN 0.00 227.62 0.00 1 in 4393
Yukon 14 0 0.00 0 0 NaN 0.00 340.82 0.00 1 in 2934
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Hong Kong 3272 27 0.83
Guangdong 1680 8 0.48
Henan 1276 22 1.72
Zhejiang 1270 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Beijing 933 9 0.96
Jiangxi 932 1 0.11
Shandong 799 7 0.88
Shanghai 748 7 0.94
Jiangsu 655 0 0.00
Xinjiang 639 3 0.47
Sichuan 604 3 0.50
Chongqing 583 6 1.03
Fujian 366 1 0.27
Hebei 349 6 1.72
Shaanxi 324 3 0.93
Inner Mongolia 258 1 0.39
Guangxi 255 2 0.78
Liaoning 241 2 0.83
Tianjin 205 3 1.46
Shanxi 201 0 0.00
Yunnan 191 2 1.05
Hainan 171 6 3.51
Gansu 167 2 1.20
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 13942.66 468.56 1 in 72
Brazil 12720.90 441.83 1 in 79
India 1266.61 27.27 1 in 790
Russia 5802.50 96.46 1 in 172
South Africa 8695.05 141.13 1 in 115
Mexico 3286.66 361.36 1 in 304
Peru 12666.83 591.27 1 in 79
Chile 19704.54 523.93 1 in 51
United Kingdom 4587.49 695.42 1 in 218
Iran 3748.20 206.58 1 in 267
Colombia 6022.17 205.93 1 in 166
Spain 6183.50 609.62 1 in 162
Pakistan 1412.72 30.21 1 in 708
Saudi Arabia 8375.99 87.01 1 in 119
Italy 4092.87 581.04 1 in 244
Bangladesh NA NA 1 in NA
Turkey 2856.99 70.42 1 in 350
France 3361.65 451.83 1 in 297
Germany 2541.36 110.48 1 in 393
Argentina 4321.26 80.03 1 in 231

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 225148 23531 10.45
Los Angeles California 188541 4624 2.45
Miami-Dade Florida 118462 1611 1.36
Maricopa Arizona 117293 2054 1.75
Cook Illinois 105493 4886 4.63
Harris Texas 72961 730 1.00
Broward Florida 55411 709 1.28
Dallas Texas 49976 671 1.34
Suffolk New York 43224 1996 4.62
Nassau New York 43203 2194 5.08
Clark Nevada 41245 687 1.67
Bexar Texas 40803 578 1.42
Riverside California 37011 695 1.88
Orange California 36196 618 1.71
Westchester New York 35933 1445 4.02
Palm Beach Florida 33274 815 2.45
San Bernardino California 32230 409 1.27
Philadelphia Pennsylvania 30354 1690 5.57
Hillsborough Florida 29116 335 1.15
San Diego California 29048 561 1.93
Orange Florida 29011 216 0.74
Tarrant Texas 27823 365 1.31
Wayne Michigan 27067 2802 10.35
Middlesex Massachusetts 25706 1978 7.69
Prince George’s Maryland 22416 737 3.29
Suffolk Massachusetts 21222 1055 4.97
Duval Florida 21038 153 0.73
Shelby Tennessee 20586 279 1.36
Mecklenburg North Carolina 20502 199 0.97
Bergen New Jersey 20472 2040 9.96
Travis Texas 20465 229 1.12
Essex New Jersey 19488 2102 10.79
Hudson New Jersey 19478 1500 7.70
Kern California 19335 140 0.72
Milwaukee Wisconsin 19248 438 2.28
Salt Lake Utah 19036 173 0.91
Davidson Tennessee 18978 198 1.04
Fairfield Connecticut 17793 1406 7.90
Middlesex New Jersey 17673 1404 7.94
Fulton Georgia 17646 389 2.20
Montgomery Maryland 17568 789 4.49
Passaic New Jersey 17429 1242 7.13
Hennepin Minnesota 17316 813 4.70
Essex Massachusetts 17232 1177 6.83
Gwinnett Georgia 17130 238 1.39
Hidalgo Texas 17006 644 3.79
Franklin Ohio 16842 511 3.03
Union New Jersey 16523 1347 8.15
Pinellas Florida 16356 432 2.64
Pima Arizona 16167 459 2.84
Fairfax Virginia 15616 520 3.33
Lee Florida 15416 295 1.91
King Washington 15025 649 4.32
Out of GA Georgia 15010 78 0.52
Oakland Michigan 14614 1126 7.70
Providence Rhode Island 14549 0 0.00
Fresno California 14439 138 0.96
Marion Indiana 14432 718 4.98
El Paso Texas 14276 237 1.66
Jefferson Louisiana 14155 513 3.62
Rockland New York 13864 674 4.86
Worcester Massachusetts 13322 990 7.43
New Haven Connecticut 13041 1101 8.44
St. Louis Missouri 12880 650 5.05
Hartford Connecticut 12645 1412 11.17
Polk Florida 12488 268 2.15
Cuyahoga Ohio 12399 470 3.79
Nueces Texas 12301 176 1.43
DeKalb Georgia 12127 222 1.83
District of Columbia District of Columbia 12057 584 4.84
Lake Illinois 11855 440 3.71
Baltimore Maryland 11818 547 4.63
San Joaquin California 11483 168 1.46
Charleston South Carolina 11345 162 1.43
DuPage Illinois 11267 510 4.53
Cobb Georgia 11206 297 2.65
Jefferson Alabama 11194 223 1.99
Baltimore City Maryland 11192 407 3.64
Alameda California 11139 182 1.63
Orange New York 11082 489 4.41
Yuma Arizona 10880 254 2.33
Wake North Carolina 10859 128 1.18
East Baton Rouge Louisiana 10690 326 3.05
Ocean New Jersey 10414 1014 9.74
Orleans Louisiana 10255 560 5.46
Douglas Nebraska 10241 131 1.28
Norfolk Massachusetts 10236 984 9.61
Cameron Texas 10155 325 3.20
Monmouth New Jersey 10057 858 8.53
Greenville South Carolina 10034 184 1.83
Santa Clara California 9913 191 1.93
Yakima Washington 9865 204 2.07
Sacramento California 9820 133 1.35
Montgomery Pennsylvania 9761 848 8.69
Denver Colorado 9623 410 4.26
Collier Florida 9581 122 1.27
Polk Iowa 9479 201 2.12
Tulare California 9454 178 1.88
Macomb Michigan 9448 936 9.91
Imperial California 9366 210 2.24

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc